Technology Architect

Descripción del puesto:

Infosys Brazil is looking for professionals with the profile of Technical Lead to join our team
Main activities and responsibilities:
* Design, develop, and deploy production ready AI/ML models and applications that solve criti-cal business problems
* Lead the AI Transformation in the region. Influence, educate and evangelize Data Science and AI in the region.
* Drive engagement and adoption of Data Science and AI. Consult in how to shape the Data Science and AI strategy for the region
* Own the complete ML lifecycle: data pipeline design, feature engineering, model training, evaluation, deployment, and monitoring
* Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
* Implement MLOps best practices including model versioning, CI/CD pipelines, and automated retraining
* Translate complex business requirements into technical AI/ML solutions with clear success metrics
* Conduct code reviews and establish engineering best practices for AI projects
* Evaluate and integrate emerging AI technologies (LLMs, GenAI, RAG systems) into Syngenta's ecosystem
* Lead POCs and MVPs using design thinking methodologies to validate solution feasibility
* Optimize model performance, latency, and cost-efficiency for production systems
* Contribute to Syngenta's AI platform capabilities and reusable component libraries
Required Qualifications:
Hard Skills:
* Degree in Computer Science, AI, ML, Data Science, Engineering, or related fields.
* 3-5 years of hands-on experience in AI/ML engineering or related roles
* Proven track record of deploying models to production environments
* Proficiency in Python
* Good understanding of AWS cloud architecture including Sagemaker and Bedrock
* Ability to use identify and re-use GitHub projects to solve business problems
* Experience working with cross-functional teams and translating business needs into technical solutions
* Demonstrated ability to manage multiple projects and delivery results in agile environments

Leadership Skills
* Cross-Functional Technical Leadership: Lead end-to-end AI/ML project delivery by orches-trating collaboration between data engineers, business stakeholders, and product teams-translating complex business requirements into scalable technical solutions while establish-ing clear success metrics and driving alignment across diverse audiences with varying tech-nical backgrounds.
* Engineering Excellence & Mentorship: Drive MLOps best practices and engineering stand-ards across the team through conducting code reviews, establishing reusable component li-braries, and guiding junior engineers on production deployment patterns-building organiza-tional AI capability while ensuring technical debt management and architectural excellence.
* Strategic Innovation & Stakeholder Influence: Champion AI-driven business transformation by leading POCs and MVPs using design thinking methodologies, evaluating emerging tech-nologies (LLMs, GenAI, RAG), and proactively identifying opportunities for AI improve-ments-securing stakeholder buy-in through clear communication of technical trade-offs, ROI potential, and risk mitigation strategies to executive and non-technical audiences.
Additional information:
Type of work: CLT, Flexible hours.
Benefits package: Transport vouchers, meal vouchers, childcare assistance, life insurance, funeral assistance, medical and dental insurance.
Career: Global work on national and international clients and/or projects, possibility of international career movement